Informe de auditoría del skill
call-summarizer Informe de auditoría.
Turn a finished CALL-E phone-call transcript into a structured post-call brief with a one-line outcome, a masked summary, extracted action items with owners and due dates, caller sentiment, and a redacted caller fingerprint. Use after any CALL-E call when an agent or operator needs an actionable, reviewable record of what was said without re-reading the whole transcript or re-playing the recording.
Trust Score de OpenAgentSkill
Trust Score de OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopción en GitHub
Advertencia48
63 estrellas de GitHub
Actividad de stars/forks
Advertencia53
63 estrellas y 127 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado100
3 días desde el último push
Claridad de licencia
Aprobado86
MIT
Completitud de README/SKILL.md
Aprobado86
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Advertencia54
command execution surface, external package install surface
Disponibilidad de instalación
Aprobado92
npx skills add CALLE-AI/awesome-phone-call-agents --skill call-summarizer
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Fallido36
shell or command execution, filesystem or document access
Evidencia del repositorio
Aprobado86
https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-summarizer
Estado de revisión
Info66
Hay datos de revisión por IA disponibles
Resultados comprobados por Agent
Info54
Aún no hay datos de resultados del Agent
Comprobaciones
Revisión de instalación y adopción
Ruta de instalación
92
npx skills add CALLE-AI/awesome-phone-call-agents --skill call-summarizer
Repositorio
88
https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-summarizer
Licencia
86
MIT
Mantenimiento
100
3 días desde el último push
Revisión por IA
55
The skill relies on regex-based masking for personal names, which is explicitly partial and may miss names without introduction cues. This is documented, but downstream consumers should be aware of the limitation.
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
54
command execution surface, external package install surface
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
36
shell or command execution, filesystem or document access
Actividad de stars/forks
53
63 estrellas y 127 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
68
63 estrellas de GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Advertencias
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- The skill relies on regex-based masking for personal names, which is explicitly partial and may miss names without introduction cues. This is documented, but downstream consumers should be aware of the limitation.
- The script accepts a file path for the transcript; if used in an untrusted environment, an attacker could potentially point it to arbitrary files. However, the skill is designed for local, operator-controlled use and does not exfiltrate data.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 63 GitHub stars
- Stars/forks activity: 63 stars, 127 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, external package install surface
- Permission surface: shell or command execution, filesystem or document access
Método
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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